About
I am an aspiring Data Analyst and final-year Computer Science professional driven by the passion for transforming complex datasets into clear, strategic insights. My objective is to apply strong analytical and programming expertise to support data-driven decision-making within a dynamic organization. I combine a solid foundation in Python (Pandas, NumPy, Scikit-learn) and SQL with advanced proficiency in visualization tools like Power BI and Tableau.
My portfolio is a showcase of high-impact projects where I’ve translated data into tangible business results. For instance, I developed an interactive Tableau dashboard for Amazon sales data that successfully uncovered key product trends, directly influencing a 15% increase in high-margin product sales and boosting inventory turnover. Furthermore, in designing a relational SQL database for an online bookstore, I optimized data architecture to improve data retrieval speed by 40%.
Equipped with hands-on experience in the entire data lifecycle—from Web Scraping and ETL (Extract, Transform, Load) to advanced exploratory data analysis (EDA) and foundational Machine Learning—I thrive on tackling complex problems. I maintain an adaptive, quick-learning mindset and am eager to leverage my technical and collaborative skills (Teamwork, Leadership, Problem Solving) to contribute immediately and grow within a corporate environment.